Fabio Daniele

ORCID: 0000-0003-0612-3047
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About
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Research Areas
  • Digital Transformation in Industry
  • Manufacturing Process and Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Respiratory Support and Mechanisms
  • Big Data and Business Intelligence
  • Modular Robots and Swarm Intelligence
  • Assembly Line Balancing Optimization
  • Sport Psychology and Performance
  • Problem and Project Based Learning
  • Thermal Regulation in Medicine
  • Technology Assessment and Management
  • Intensive Care Unit Cognitive Disorders
  • Advanced Manufacturing and Logistics Optimization
  • Infrared Thermography in Medicine
  • Motor Control and Adaptation
  • Additive Manufacturing and 3D Printing Technologies
  • Tumors and Oncological Cases
  • Injection Molding Process and Properties
  • Gastrointestinal disorders and treatments
  • Prosthetics and Rehabilitation Robotics
  • Airway Management and Intubation Techniques
  • Industrial Vision Systems and Defect Detection
  • Biomedical and Engineering Education
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Engineering and Environmental Studies

University of Applied Sciences and Arts of Southern Switzerland
2021-2024

University of Bologna
2017-2021

Policlinico S.Orsola-Malpighi
2020

University of Modena and Reggio Emilia
2017

Abstract Collaborative robotics possesses the potential to revolutionise industrial automation by offering affordable and accessible solutions with reasonable skill requirements. However, identifying most valuable appropriate applications for this technology remains a challenge. This study conducted comprehensive literature review analyse existing collaborative applications, results showed that only limited number of can be considered true collaboration, even fewer classified as intelligent...

10.1007/s10846-024-02141-z article EN cc-by Journal of Intelligent & Robotic Systems 2024-08-06

Humans frequently estimate the size of objects to grasp them. In fact, when performing an action, our perception is focused towards visual properties object that enable us successfully execute action. However, motor system also able influence perception, but only a few studies have reported evidence for action-induced modifications. Here, we aimed look feature-specific perceptual modulation before and after reaching or grasping Human participants were instructed either reach two-dimensional...

10.1167/17.12.10 article EN cc-by-nc-nd Journal of Vision 2017-10-20

The therapeutic value of early physiotherapeutic treatment in critical respiratory settings has already been clearly outlined the last fifteen years by several authors. However, there is still a controversial perception mobilisation healthcare professions. In-bed cycling attracted increasing attention having demonstrated as feasible and safe intervention settings. Patients with diseases are typically prone to fatigue exertional dyspnoea, we observe COVID-19 pandemic; fact, these patients...

10.1016/j.pulmoe.2021.01.004 article EN cc-by-nc-nd Pulmonology 2021-01-29

This paper addresses the achievements of QU4LITY project, funded by Swiss Innovation Agency. Within this research automation back-bone developed for SUPSI MiniFactory [1], coupled with adaptive Machine Learning (ML) algorithms, is exploited to test numerous families bearings. The associated an evolving digital profile, a twin, based on constant synchronization through IoT devices, that encompasses massive, real-time, real-world data, gathered from different sensors interfaced via OPC-UA...

10.1109/case49439.2021.9551421 article EN 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) 2021-08-23

The manufacturing industry constantly faces complex and various challenges. In this scenario, industries are attempting to exploit the latest advances in information communication technology enhance productivity, efficiency long-term planning. While human role is still essential significant, activities will unavoidably change their nature terms of increased complexity heterogeneity work. order deal with educational needs handle heterogeneity, last decade numerous learning factories have been...

10.2139/ssrn.3858404 article EN SSRN Electronic Journal 2021-01-01

Recent social, healthcare, and geopolitical events have caused major disruptions to global supply chains, leading significant negative consequences on the availability cost of raw materials for various industries. The injection molding sector has been significantly impacted, with chain resulting in reduced plastic granules overall increases material costs. To overcome these challenges, component manufacturers need optimize their validation process make most efficient use available materials....

10.1016/j.procs.2024.02.057 article EN Procedia Computer Science 2024-01-01

The manufacturing industry constantly faces complex challenges: fierce competition, shorter product lifecycles, increased variability, fluctuating demand and, lately, pandemic related issues are just a short list.In this continuously evolving scenario, industries trying to enhance their resiliency, efficiency and longterm planning capabilities through the exploitation of latest advances in information communication technology.The resulting for digital transformation impacts each phase...

10.51508/intcess.202265 article EN 2022-01-11

Nowadays, manufacturing systems face an increasing array of challenges including the capability to manufacture customizedproducts, demonstrate adaptive behaviour and automatic rescheduling orders, easy reconfigurability remote services fordiagnosis. Traditional automation solutions cannot effectively cope with these challenges. The combining developments in Information Communication Technologies (ICT) production engineering have brought forward concept Cyber-PhysicalProduction Systems...

10.2139/ssrn.3857979 article EN SSRN Electronic Journal 2021-01-01
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